1 October 2001 Hybrid neural method for locating eyes in facial images
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Abstract
Locating facial features automatically in a scene is an essential but relatively unsolved problem. We develop a novel hybrid neural method for human eye location by the following stages: (1) facial images are preprocessed for normalization; (2) the candidate regions of eyes are detected using an improved version of radial basis function (RBF) networks, which is capable of dealing with those facial images containing some changes of eye size or face orientation; and (3) a hierarchical knowledge-based approach is presented to evaluate these candidates and locate the positions of both eyes. The proposed method is tested on various face images. The experimental results illustrate the effectiveness of our method.
© (2001) Society of Photo-Optical Instrumentation Engineers (SPIE)
David Zhang, David Zhang, Hui Peng, Hui Peng, Kuanquan Wang, Kuanquan Wang, } "Hybrid neural method for locating eyes in facial images," Optical Engineering 40(10), (1 October 2001). https://doi.org/10.1117/1.1391258 . Submission:
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